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Model of Woodfield et al for Predicting Surgical Site Infection (SSI) Risk Based on the American Society of Anesthesiologist (ASA) Classification and Wound Category

Description

Woodfield et al predicted the rate of surgical site infection (SSI) based on a procedures ASA (American Society of Anesthesiologists) classification and wound category. This information can help to identify a patient who may benefit from more aggressive management. The authors are from the University of Otago in Dunedin and the University of Auckland in New Zealand.


Patient selection: all ages, unspecified surgical procedures

 

Outcome: surgical site infection (SSI)

 

Parameters:

(1) ASA classification

(2) wound categories (clean, clean-contaminated, contaminated, dirty)

 

ASA Class

Wound Category

Wound Infection

I or II

clean

4%

 

clean-contaminated

6.7%

 

contaminated

7.4%

 

dirty

12%

ASA III, IV or V

clean

8%

 

clean-contaminated

13.5%

 

contaminated

14.6%

 

clean

44%

 

where:

• The relevance of ASA 5 is unclear due to high mortality rate.

• Clean-contaminated and contaminated could be collapsed into 1 group since rates are similar.

 

 

ASA Class

Odds Ratio

ASA I

1

ASA II

6

ASA III

10

ASA IV or V

19

 

 

Wound Category

Odds Ratio

clean

1

clean-contaminated

2

contaminated

2

dirty

5

 


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